195 Interest Score
29 Discussions
0.15 Engagement
Sep 2024 Launched

Say 'goodbye' to 'stare and compare' manual spreading of management accounts, tax returns, balance sheets, or P&Ls. Upload them to Heron via our portal, email, API and receive normalised, clean, and structured output piped directly to where you need it.

What the Community Said

đź‘‹ Hi Hunters, Jamie here from Heron Data. We partner with 100+ Banks, Fintechs, and other Business Lenders to automate mindless repetitive processes like parsing bank statements & application forms into your CRM. Financial statements are essential to most banks underwriting process but a massive pain to parse or 'spread'. Tax returns, balance sheets, and P&Ls provide unique insight into a company's financial health - they are the source for calculating datapoints like inventory turnover,

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Hats off, @jamie_parker! AutoSpread is such a lifesaver for anyone buried in financial statements. The ML-powered approach to spreading is brilliant—goodbye to manual data entry! I'm curious, how does AutoSpread handle extremely large datasets? Does it maintain the same level of speed and accuracy?

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Kudos to the Heron Data team for AutoSpread! This tool is going to make a significant difference in underwriting processes, especially for small business loans. @jamie_parker

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Hey Jamie, How does AutoSpread handle variations in formatting or non-standard line items in financial statements? What languages does it currently support? Congrats on the launch!

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My data scientist friends would love this

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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